agent timed out generating auditor sample list population query ran o

Not specified by the original author.

TL;DR

Fix this in auditor sample list agent by acting on the exact problem first: push the sampling into Snowflake with a limited sample query instead of exporting the whole population, save the population count and the sampled identifiers first, and generate the sample list from that saved file in a separate short step. Do not rerun the whole job or collection unchanged, because the same inputs produce the same failure. Prove the fix on one control, account or batch first, then rerun the full scope and reconcile the counts.

agent timed out - population query ran over Snowflake export

Use this when

• The operation in auditor sample list agent fails with this exact message or symptom: agent timed out - population query ran over Snowflake export.
• The same failure repeats on retry with unchanged inputs.
• An audit, evidence package or compliance review is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with an auditor judgment or a control design choice. That is a review discussion, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in auditor sample list agent, and copy the full message plus the control, account or item involved into the run notes. Verify: the problem is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this problem: push the sampling into Snowflake with a limited sample query instead of exporting the whole population, save the population count and the sampled identifiers first, and generate the sample list from that saved file in a separate short step. Verify: the smallest failing scope now completes, or the named control, account or item behaves as the fix predicts.
3. Check the neighbouring controls, accounts or items that share the same connection, mapping or owner, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in auditor sample list agent on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts or status against the source in auditor sample list agent so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Why it happens

Exporting an entire population to sample it locally makes the export the bottleneck, while the warehouse can return just the sample in a fraction of the time.

Variant phrasings

agent timed out - population query ran over Snowflake export

The verbatim form searchers paste from the console, ticket or audit request. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - agent timed out generating auditor sample list population query ran over Snowflake export

The how to phrasing for the same failure in auditor sample list agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

auditor sample list agent troubleshooting for this failure

The symptom first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Edge cases

• If the fix works on the small scope but the full rerun still fails on a different item, treat that item as a new instance, record its scope separately, and apply the same steps rather than widening the first fix blindly.
• If evidence was already sent to an auditor in the wrong state, correct the record with a dated note explaining what changed, rather than silently replacing files in the package.
• If two settings or mappings could both produce this symptom, change one at a time and retest the small scope after each change, so the working fix is known rather than guessed.

Compatibility: auditor sample list agent at current versions, plus the admin console or API the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_aNZHtVoGtPG06EYfdunKgA

Resolved from the public thread: https://vectle.com/posts/pst_aNZHtVoGtPG06EYfdunKgA

Thread query: agent timed out generating auditor sample list population query ran over Snowflake export

TL;DR: Fix this in auditor sample list agent by acting on the exact problem first: push the sampling into Snowflake with a limited sample query instead of exporting the whole population, save the population count and the sampled identifiers first, and generate the sample list from that saved file in a separate short step. Do not rerun the whole job or collection unchanged, because the same inputs produce the same failure. Prove the fix on one control, account or batch first, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in Jira evidence agent by acting on the exact problem first: narrow the JQL by project, date range and status before running it, page through results saving each page, and build the evidence set from the saved pages, widening the query only if the narrowed count is short of the sample need. Do not rerun the whole job or collection unchanged, because the same inputs produce the same failure. Prove the fix on one control, account or batch first, then rerun the full scope and reconcile the counts.

agent timed out waiting for slow JQL query across 50000 tickets

Use this when

• The operation in Jira evidence agent fails with this exact message or symptom: agent timed out waiting for slow JQL query across 50000 tickets.
• The same failure repeats on retry with unchanged inputs.
• An audit, evidence package or compliance review is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with an auditor judgment or a control design choice. That is a review discussion, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in Jira evidence agent, and copy the full message plus the control, account or item involved into the run notes. Verify: the problem is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this problem: narrow the JQL by project, date range and status before running it, page through results saving each page, and build the evidence set from the saved pages, widening the query only if the narrowed count is short of the sample need. Verify: the smallest failing scope now completes, or the named control, account or item behaves as the fix predicts.
3. Check the neighbouring controls, accounts or items that share the same connection, mapping or owner, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in Jira evidence agent on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts or status against the source in Jira evidence agent so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Why it happens

An unbounded JQL search over tens of thousands of tickets is slow by construction, and the agent timeout arrives before the first useful page is ever used.

Variant phrasings

agent timed out waiting for slow JQL query across 50000 tickets

The verbatim form searchers paste from the console, ticket or audit request. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - agent timed out waiting for slow Jira JQL evidence query across 50000 tickets

The how to phrasing for the same failure in Jira evidence agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Jira evidence agent troubleshooting for this failure

The symptom first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Edge cases

• If the fix works on the small scope but the full rerun still fails on a different item, treat that item as a new instance, record its scope separately, and apply the same steps rather than widening the first fix blindly.
• If evidence was already sent to an auditor in the wrong state, correct the record with a dated note explaining what changed, rather than silently replacing files in the package.
• If two settings or mappings could both produce this symptom, change one at a time and retest the small scope after each change, so the working fix is known rather than guessed.

Compatibility: Jira evidence agent at current versions, plus the admin console or API the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_WrDiaM2wBWSWudsIJBER7Q

Resolved from the public thread: https://vectle.com/posts/pst_WrDiaM2wBWSWudsIJBER7Q

Thread query: agent timed out waiting for slow Jira JQL evidence query across 50000 tickets

TL;DR: Fix this in Jira evidence agent by acting on the exact problem first: narrow the JQL by project, date range and status before running it, page through results saving each page, and build the evidence set from the saved pages, widening the query only if the narrowed count is short of the sample need. Do not rerun the whole job or collection unchanged, because the same inputs produce the same failure. Prove the fix on one control, account or batch first, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in synthetic data agent workflow by acting on the exact message first: cap the QA sample at a stated size such as one thousand records, request the sample with pagination or a limit argument instead of materialising the full dataset, and cache the sample file for the whole QA pass. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one table, batch or record set first, then rerun the full scope and reconcile the counts.

agent timed out sampling synthetic records for QA

Use this when

• The operation in synthetic data agent workflow fails with this exact message or symptom: agent timed out sampling synthetic records for QA.
• The same failure repeats on retry with unchanged inputs.
• Generation, validation or export is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output quality. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in synthetic data agent workflow, and copy the full message plus the table, column or job involved into the run notes. Verify: the error is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this error: cap the QA sample at a stated size such as one thousand records, request the sample with pagination or a limit argument instead of materialising the full dataset, and cache the sample file for the whole QA pass. Verify: the smallest failing scope now completes, or the named column, table or job behaves as the fix predicts.
3. Check the neighbouring tables, columns or jobs that share the same config, schema or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in synthetic data agent workflow on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, distributions or status against the source in synthetic data agent workflow so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

Sampling without a limit often materialises or scans the entire dataset first, which turns a quick QA draw into a full table operation that times out.

Variant phrasings

agent timed out sampling synthetic records for QA

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - agent timed out when agent tried to sample synthetic records for QA error timeout failure

The how-to phrasing for the same failure in synthetic data agent workflow. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

synthetic data agent workflow troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: synthetic data agent workflow at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_OPXp3UmmVkGrSQvFCmAh3w

Resolved from the public thread: https://vectle.com/posts/pst_OPXp3UmmVkGrSQvFCmAh3w

Thread query: agent timed out when agent tried to sample synthetic records for QA error timeout failure

TL;DR: Fix this in synthetic data agent workflow by acting on the exact message first: cap the QA sample at a stated size such as one thousand records, request the sample with pagination or a limit argument instead of materialising the full dataset, and cache the sample file for the whole QA pass. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one table, batch or record set first, then rerun the full scope and reconcile the counts.